3 papers
cs.CV2025
Generating Attribute-Aware Human Motions from Textual Prompt
Xinghan Wang, Kun Xu, Fei Li +3
Text-driven human motion generation has recently attracted considerable attention, allowing models to generate human motions based on textual descriptions. However, current methods…
cs.CV2025
Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion
Xinghan Wang, Zixi Kang, Yadong Mu
Human motion understanding is a fundamental task with diverse practical applications, facilitated by the availability of large-scale motion capture datasets. Recent studies focus o…
cs.CV2025
Biomechanics-Guided Residual Approach to Generalizable Human Motion Generation and Estimation
Zixi Kang, Xinghan Wang, Yadong Mu
Human pose, action, and motion generation are critical for applications in digital humans, character animation, and humanoid robotics. However, many existing methods struggle to pr…